GIAN course: Advances in Decision Making

This course will introduce students to key concepts, brain imaging methods, and current research on brain and functional development. Key themes of discussion at each stage will be developmental trajectories and timing, representation, plasticity and normal and abnormal development.

Understanding and developing autonomous agents based on Learning and Decision Making cognitive processes has been important fields of cognitive science. The aim of this course is to introduce the multi-disciplinary approaches and methodologies for the investigation of learning & decision Making. The multi-disciplinary approaches include ideas from psychology, neuroscience and artificial intelligence/machine learning. The methodologies include computational, neurobiological and cognitive robotics. The objective of the course is to introduce both these aspects while taking learning and decision-making as cognitive processes of interest. A secondary goal of the course is to illustrate how interdisciplinary and exchanges of knowledge, methods and points of views on a common object of interest (learning & decision-making) enables cross-fertilization between neuroscience, psychology, machine learning and robotics.

Particular emphasis will be placed on the use of noninvasive brain imaging methodologies such as fMRI, fNIRS, and EEG for probing the brain and function across development, from the prenatal period to adolescence.

Dates

11 to 22 February, 2019

Faculty

Dr. Mehdi Khamassi, Research Scientist, French National Center for Scientific Research (CNRS), Institute of Intelligent Systems and Robotics (ISIR), Sorbonne Université, Paris, France.

Prof. Narayanan Srinivasan, Centre of Behavioural and Cognitive Sciences, University of Allahabad